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Quantitative Assessment Resources

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Crawford, S. D., Couper, M. P., and Lamais, M. J. (2001). Web surveys: Perceptions of burden. Social Science Computer Review, 19(2), 146-162.

Dillman, D. A. (2000). Mail and Internet surveys: A tailored design method. New York: JohnWiley and Sons.

Fowler, F., Jr. (1995). Improving survey questions: Design and evaluation (Applied Social Research Methods Series, Volume 38). Thousand Oaks: SAGE Publications.

Fraenkel, J. R., and Wallen, N. E. (2003). How to design and evaluate research in education (5th ed.). New York: McGraw-Hill.

Grim, L. G. and Yarnold, P. R. (eds). (1995). Reading and understanding multivariate statistics. Washington, D.C.: American Psychological Association.

Norusis, M. J. (2005) SPSS 13.0 Guide to data analysis. Upper Saddle River, NJ: Prentice Hall.

Norusis, M. J. (2005) SPSS 13.0 Statistical Procedures Companion. Upper Saddle River, NJ: Prentice Hall.

Porter, S. R. and Whitcomb, M. E. (2005). E-mail subject lines and their effect on web survey viewing and response. Social Science Computer Review, 23(3), 380-387.

Porter, S. R. (Ed.). (2004). Overcoming survey problems. New Directions for Institutional Research, 121.

Sage Quantitative Application in Social Sciences Series and other quantitative print resources
(go to www.sagepub.com and search under quantitative/statistical research)

Sax, L. J., Gilmartin, S. K., and Bryant, A. N. (2003). Assessing response rates and nonresponse bias in web and paper surveys. Research in Higher Education, 44(4), 409-432.

Singer, E. (2002). The use of incentives to reduce nonresponse in household surveys. In Groves, Dillman, Ettinger, and Little (Eds.), Survey Nonresponse. New York: Wiley.

Tabachnik, B. G. and Fidell, L. S. (2001). Using multivariate statistics (4th ed.). Boston: Allyn and Bacon.

Umbach, P. D. (Ed.). (2005). Survey research: Emerging issues. New Directions for Institutional Research, 127.

Urban, T. C. (2001). Statistics in plain English. Mahway, NJ: Lawrence Erlbaum Association.

Web

Choosing the right statistical test: This table will help you decide which test to use depending on the number of variables, nature of variables, and also includes links to how to apply the tests using SAS, SPSS, and Stata.

Dillman’s papers: This site has some of the papers by Don Dillman, considered the preeminent expert in survey research.

Number randomizer: Use this site to create a table of random numbers for random sampling.

Research Methods in the Social Sciences: An Internet Resource List: This is a gold mine of quantitative information. Categories include general, tests and measures, survey method, research primers, calculators, dictionaries, datasets, software, as well as some links for qualitative research, and writing.

Sample size calculator: This site will help you calculate an appropriate sample size given the population size, the sampling error and confidence interval you want. There are also links on the left side menu to survey information and statistical significance.

Last Updated: 12/19/08